# Claude AI Documentation Assistant

> Use this tool when you need to efficiently search and retrieve technical information from multiple AI/ML libraries using natural language queries. It solves problems of information overload and difficulty in finding relevant documentation, providing smart search capabilities across various libraries. The tool takes in natural language queries as input and outputs relevant technical information, making it ideal for use cases where quick access to accurate documentation is crucial.

Canonical page: https://skillsregistry.net/skills/xpe-7-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/xpe-7-mcp-server

## Description

An MCP server that integrates with Claude to provide smart documentation search capabilities across multiple AI/ML libraries, allowing users to retrieve and process technical information through natural language queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dl1fo652ic)
- **Repository:** <https://github.com/XPE-7/MCP-Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xpe-7-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xpe-7-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xpe-7-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt